vCluster YAML FAQs

Question 1

Can I query specific vCluster versions, and how is the data kept current?

Accepted Answer

Yes, the tool supports querying any vCluster version (e.g., `v0.19.0`, `main`) using explicit, stateless parameters. All data is fetched live from the vCluster GitHub repository, ensuring you always work with the latest configurations and schemas, backed by smart caching for performance.

Question 2

What is vCluster YAML and how does it benefit AI assistants?

Accepted Answer

vCluster YAML is a Model Context Protocol (MCP) server that enables AI assistants (like Claude) to directly query and validate vCluster YAML configurations live from the official GitHub repository. This ensures AI-generated content is accurate, up-to-date, and aligned with current vCluster versions.

Question 3

How does vCluster YAML ensure AI-generated configurations are valid?

Accepted Answer

A key feature is the `create-vcluster-config` tool, which automatically validates any YAML configuration generated by an AI assistant *before* it's presented to you. This pre-validation step guarantees that all AI-created vCluster setups are syntactically correct and adhere to schema rules.

Question 4

Does this tool require local files or complex setup?

Accepted Answer

No, vCluster YAML operates entirely stateless, fetching all configurations and documentation directly from GitHub. You can easily run it locally via `npx` as a command-line tool or integrate with a remote HTTP instance, eliminating the need for local data synchronization.

Question 5

What kind of output does vCluster YAML provide for AI models?

Accepted Answer

It provides structured, LLM-friendly output in a kubectl-style format. This includes precise type information, relevance ranking for search results, and suggestions for related configurations, making the data easily parsable and understandable for AI assistants to utilize effectively.

vCluster YAML

vCluster YAML

Key Features

Use Cases

Key Features

Use Cases